MySQL LOAD DATA INFILE 帮助
我想加载一个如下所示的 CSV 文件:
Acct. No.,1-15 Days,16-30 Days,31-60 Days,61-90 Days,91-120 Days,Beyond 120 Days
2314134101,898.89,8372.16,5584.23,7744.41,9846.54,2896.25
2414134128,5457.61,7488.26,9594.02,6234.78,273.7,2356.13
2513918869,2059.59,7578.59,9395.51,7159.15,5827.48,3041.62
1687950783,4846.85,8364.22,9892.55,7213.45,8815.33,7603.4
2764856043,5250.11,9946.49,8042.03,6058.64,9194.78,8296.2
2865446086,596.22,7670.04,8564.08,3263.85,9662.46,7027.22
,4725.99,1336.24,9356.03,1572.81,4942.11,6088.94
,8248.47,956.81,8713.06,2589.14,5316.68,1543.67
,538.22,1473.91,3292.09,6843.89,2687.07,9808.05
,9885.85,2730.72,6876,8024.47,1196.87,1655.29
但如果您注意到,某些字段不完整。 我认为 MySQL 会跳过第一列缺失的行。 当我运行命令时:
LOAD DATA LOCAL INFILE 'test-long.csv' REPLACE INTO TABLE accounts
FIELDS TERMINATED BY ',' LINES TERMINATED BY '\r\n'
IGNORE 1 LINES
(cf_535, cf_580, cf_568, cf_569, cf_571, cf_572);
MySQL 输出为:
Query OK, 41898 rows affected, 20948 warnings (0.78 sec)
Records: 20949 Deleted: 20949 Skipped: 0 Warnings: 20948
行数仅为 20,949,但 MySQL 报告有 41,898 行受到影响。 为什么这样? 此外,表中没有任何真正的变化。 我也看不出生成的警告是什么。 我想使用 LOAD DATA INFILE 因为 python 需要半秒来更新每一行,对于包含 20,000 多条记录的文件来说,这意味着需要 2.77 小时。
更新:修改了代码以将自动提交设置为“False”并添加了 db.commit() 语句:
# Tell MySQLdb to turn off auto-commit
db.autocommit(False)
# Set count to 1
count = 1
while count < len(contents):
if contents[count][0] != '':
cursor.execute("""
UPDATE accounts SET cf_580 = %s, cf_568 = %s, cf_569 = %s, cf_571 = %s, cf_572 = %s
WHERE cf_535 = %s""" % (contents[count][1], contents[count][2], contents[count][3], contents[count][4], contents[count][5], contents[count][0]))
count += 1
try:
db.commit()
except:
db.rollback()
I want to load a CSV file that looks like this:
Acct. No.,1-15 Days,16-30 Days,31-60 Days,61-90 Days,91-120 Days,Beyond 120 Days
2314134101,898.89,8372.16,5584.23,7744.41,9846.54,2896.25
2414134128,5457.61,7488.26,9594.02,6234.78,273.7,2356.13
2513918869,2059.59,7578.59,9395.51,7159.15,5827.48,3041.62
1687950783,4846.85,8364.22,9892.55,7213.45,8815.33,7603.4
2764856043,5250.11,9946.49,8042.03,6058.64,9194.78,8296.2
2865446086,596.22,7670.04,8564.08,3263.85,9662.46,7027.22
,4725.99,1336.24,9356.03,1572.81,4942.11,6088.94
,8248.47,956.81,8713.06,2589.14,5316.68,1543.67
,538.22,1473.91,3292.09,6843.89,2687.07,9808.05
,9885.85,2730.72,6876,8024.47,1196.87,1655.29
But if you notice, some of the fields are incomplete. I'm thinking MySQL will just skip the row where the first column is missing. When I run the command:
LOAD DATA LOCAL INFILE 'test-long.csv' REPLACE INTO TABLE accounts
FIELDS TERMINATED BY ',' LINES TERMINATED BY '\r\n'
IGNORE 1 LINES
(cf_535, cf_580, cf_568, cf_569, cf_571, cf_572);
And the MySQL output is:
Query OK, 41898 rows affected, 20948 warnings (0.78 sec)
Records: 20949 Deleted: 20949 Skipped: 0 Warnings: 20948
The number of lines is only 20,949 but MySQL reports it as 41,898 rows affected. Why so? Also, nothing really changed in the table. I also couldn't see what the warnings generated is all about. I wanted to use the LOAD DATA INFILE because it takes python half a second to update each row which translates to 2.77 hours for a file with 20,000+ records.
UPDATE: Modified the code to set auto-commit to 'False' and added a db.commit() statement:
# Tell MySQLdb to turn off auto-commit
db.autocommit(False)
# Set count to 1
count = 1
while count < len(contents):
if contents[count][0] != '':
cursor.execute("""
UPDATE accounts SET cf_580 = %s, cf_568 = %s, cf_569 = %s, cf_571 = %s, cf_572 = %s
WHERE cf_535 = %s""" % (contents[count][1], contents[count][2], contents[count][3], contents[count][4], contents[count][5], contents[count][0]))
count += 1
try:
db.commit()
except:
db.rollback()
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你这里基本上有3个问题。 相反的顺序
如果您的 python 程序即使在单个事务中也无法足够快地执行,那么您至少应该让 python 程序在导入之前编辑/清理数据文件。 如果帐户。 编号是主键,这似乎是合理的,插入空白行将导致整个导入失败,或者如果打开自动编号,则会导致导入虚假数据。
You have basically 3 issues here. In reverse order
If your python program can't perform fast enough even with a single transaction, you should at least have the python program edit/clean the data file before importing. If Acct. No. is the primary key, as seems reasonable, inserting rows with blank will either cause the whole import to fail, or if auto number is on, cause bogus data to be imported.
如果在 LOAD DATA 中使用 REPLACE 关键字,则“Deleted:”后面的数字显示实际替换的行数
If you use REPLACE keyword in LOAD DATA, then number after "Deleted: " shows how many rows were actually replaced